Product Analyst / Data Analyst

About the role

The Product Analyst/Data Analyst will serve as a key member of the product team, ensuring strong delivery execution and continuity. They will translate product direction into high-quality delivery outcomes and extend the team's impact across the broader technology ecosystem.

Responsibilities

• Work closely with the business to understand problems at their root and drive solutions through technology.
• Develop and maintain scripts, agents, and lightweight applications using tools like Python to automate processes, move data, and solve business problems.
• Understand data models, system integrations, and application behavior to effectively translate business needs into sound technical approaches.
• Analyze data, build reports and dashboards, and surface insights that inform product and business decisions.
• Owning projects end-to-end — from problem statement through delivery and adoption — maintaining accountability for outcomes throughout.
• Contribute to roadmap development, collaborating closely with product and business leadership to identify new features, enhancements, and incremental improvements aligned with product direction.
• Continuously innovate and push the team forward — challenging the status quo, identifying opportunities to transform how work gets done, and raising the bar for those around you.

Qualifications

• Experience in IT, data, software engineering, or a business role with demonstrated technical aptitude.
• Experience writing scripts, queries, or code (e.g., Python, JavaScript, SQL, AI agents, or equivalent) to solve problems, automate processes, or move and validate data.
• Experience working directly with business stakeholders to understand problems and translate them into technical solutions.
• Experience communicating technical concepts clearly to both technical and nontechnical audiences.

What Will Put You Ahead

• Experience with Cypher, graph databases, or data modeling.
• Experience with data engineering or API integrations — building pipelines, moving data, or connecting systems.
• Experience with cloud technologies, specifically AWS (e.g., SQS, CloudWatch, Lambda).
• Experience with AI agents, LLMs, or prompt engineering.
• Experience with Power BI, Microsoft Fabric, data modeling, or analytics — including building reports, dashboards, or data products that inform business decisions.
• Experience in procurement, accounts payable, source-to-pay, or operations.

Benefits

• Medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance.